Robust Nonlinear Model Predictive Control of a Run-of-Mine Ore Milling Circuit

被引：49

作者：

Coetzee, Loutjie C. ^{[1
]}

Craig, Ian K. ^{[1
]}

Kerrigan, Eric C. ^{[2
,3
]}

机构：

[1] Univ Pretoria, Dept Elect Engn & Comp Engn, ZA-0002 Pretoria, South Africa

[2] Univ London Imperial Coll Sci Technol & Med, Dept Aeronaut, London SW7 2AZ, England

[3] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London SW7 2AZ, England

来源：

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 2010年 / 18卷 / 01期

基金：

新加坡国家研究基金会;

关键词：

Grinding mill; milling circuit; process control; robust nonlinear model predictive control (RNMPC); run-of-mine (ROM) ore; GRINDING CIRCUIT; OPTIMIZATION; STABILITY; SCHEME;

D O I：

10.1109/TCST.2009.2014641

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This brief investigates the feasibility of applying a robust nonlinear model predictive controller to a run-of-mine ore milling circuit, and the conditions under which such a controller might be worthwhile implementing. The run-of-mine ore milling circuit model used consists of nonlinear modules for the individual components of the milling circuit, allowing for arbitrary milling circuit configurations to be modeled. The model is cast into a robust nonlinear model predictive control framework, and a practically motivated simulation of the mill model being controlled by an robust nonlinear model predictive control (RNMPC) controller is presented. Issues related to implementing such a controller are investigated.

引用

页码：222 / 229

页数：8

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